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AI ML Engineer

VDart

 

Charlotte, NC, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: AI ML Engineer
Tenure: Contract - Corp-to-Corp
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Description

  • Model Development: Design, develop, and deploy machine learning models using the Tachyon platform.
  • Data Engineering: Prepare and preprocess data for model training.
  • Pipeline Development: Build robust data and ML pipelines for efficient model workflows.
  • Model Training & Tuning: Train and fine-tune machine learning models, optimizing for latency and throughput.
  • AI Workflow Documentation: Develop playbooks and templates for AI workflow automation.
  • Deployment & Integration: Collaborate with engineers for efficient deployment and integration of models into applications.
  • Monitoring & Improvement: Implement continuous monitoring of models to track performance, data drift, and model reliability
  • 5+ years of experience in machine learning, especially in NLP, generative AI, and model deployment.
  • Expertise in TensorFlow, PyTorch, or scikit-learn.
  • Experience with cloud platforms (AWS, GCP, Azure) and Kubernetes for AI workload scaling.
  • Familiarity with MLOps, SQL, and big data frameworks (Hadoop, Spark)

Education

Any Gradute

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